Triple
T11599347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dinah Manoff |
E275085
|
entity |
| Predicate | hasRelative |
P367
|
FINISHED |
| Object | Tom Manoff |
E689400
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Tom Manoff | Statement: [Dinah Manoff, hasRelative, Tom Manoff]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Manoff Context triple: [Dinah Manoff, hasRelative, Tom Manoff]
-
A.
Doug Mankoff
Doug Mankoff is a film and television producer known for financing and executive producing a wide range of independent and prestige projects.
-
B.
Bill Manhoff
chosen
Bill Manhoff was an American television and film writer best known for his work on 1960s and 1970s sitcoms, including creating the series "The Odd Couple."
-
C.
Josh Kesselman
Josh Kesselman is a film and television producer best known for his work as an executive producer on projects such as the series "The Great."
-
D.
Johnny Gandelsman
Johnny Gandelsman is a Grammy-winning violinist and producer known for his work with ensembles like Brooklyn Rider and the Silk Road Ensemble, as well as for his innovative solo projects.
-
E.
Michael Filerman
Michael Filerman was an American television producer best known for developing and producing popular prime-time soap operas during the 1970s and 1980s.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6aae6b14c81908dc5a74bad7591f9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8954c3c248190bcccd4c7ff667b3a |
completed | April 10, 2026, 6:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f457dc01ec8190a7ee3108d4d95957 |
completed | May 1, 2026, 7:35 a.m. |
Created at: April 8, 2026, 9:38 p.m.